AI Engineering Lead

AI Engineering Lead Intern

Company: Instant Labz Pvt. Ltd.

Products: Yearz & Loopz

Experience: 1–2 Years

Openings: Multiple

Stipend: 10,000 / month

Duration: 3 Months

Work Mode: Fully Remote

Working Days: Monday to Saturday

Working Hours: 10:00 AM – 6:00 PM IST

Instant Labz Pvt. Ltd. is building a portfolio of AI-powered products focused on intelligent automation, agentic workflows, and next-generation digital experiences.

Our products, particularly Yearz and Loopz, leverage AI as a core part of their architecture, user experience, and growth strategy.

We are looking for someone who can combine technical AI engineering with creative thinking to build intelligent agents, automate marketing workflows, generate engaging media, and develop AI-powered growth systems.

As an Agentic AI & Growth Engineer Intern, you will work at the intersection of AI engineering, automation, generative media, and digital growth.

You will be responsible for exploring and implementing AI-driven systems that can independently perform tasks, communicate with other agents, generate content, automate marketing workflows, and support product growth.

This is not a conventional digital marketing internship. We are looking for someone who can build the technology behind AI-powered marketing and growth.

What You'll Work On

Multi-Agent Systems & Agent-to-Agent Communication

• Design and build multi-agent systems where specialized agents communicate and collaborate.
• Implement agent-to-agent communication using Google's A2A protocol and other relevant standards.
• Explore MCP (Model Context Protocol) for connecting agents with external tools and services.
• Build agents for research, content creation, campaign planning, execution, and performance analysis.
• Implement task delegation, agent handoffs, shared context, memory, and orchestration.
• Develop autonomous and semi-autonomous workflows with appropriate human approval mechanisms.

AI-Powered Marketing Automation

• Develop AI agents for automated marketing research and campaign planning.
• Build workflows for discovering trending topics, identifying relevant audiences, and generating content ideas.
• Automate social media content creation and publishing workflows.
• Develop AI-powered systems for campaign monitoring and performance analysis.
• Explore competitor research and market intelligence automation using permitted public data sources.
• Build automated reporting systems for engagement, reach, conversions, and other growth metrics.
• Experiment with AI-powered personalization and audience segmentation.

AI Image & Video Generation

• Integrate image-generation models and APIs into marketing workflows.
• Build text-to-image, image-to-image, and reference-based generation pipelines.
• Explore text-to-video and image-to-video generation.
• Develop automated creative-generation workflows for advertisements, campaigns, and social media.
• Experiment with AI-generated promotional videos, product creatives, and visual storytelling.
• Evaluate generated media based on quality, consistency, relevance, and generation cost.
• Explore video editing, media processing, and automated creative variations.

AI Agent Development & Integration

• Build agents using frameworks such as LangGraph, LangChain, CrewAI, or equivalent technologies.
• Integrate LLM APIs from OpenAI, Gemini, Anthropic, and other providers.
• Implement function calling, tool execution, structured outputs, and external API integrations.
• Develop memory, context management, and stateful agent workflows.
• Integrate agents with backend services, databases, and third-party platforms.
• Debug agent failures, hallucinations, incorrect tool execution, and unreliable outputs.

Growth Intelligence & Analytics

• Develop AI-powered systems to analyze marketing and campaign performance.
• Build workflows that convert performance data into actionable recommendations.
• Experiment with AI-driven content optimization and audience insights.
• Analyze engagement patterns and identify opportunities to improve product visibility.
• Explore automated A/B testing and creative performance comparisons.
• Build dashboards and reporting workflows for growth-related metrics.

Research & Experimentation

• Research emerging AI agent frameworks, protocols, and generative models.
• Compare LLMs and media-generation models based on quality, speed, and cost.
• Build proof-of-concepts and turn successful experiments into working product features.
• Stay updated with developments in agentic AI, generative media, and AI-powered marketing.
• Document implementations, experiments, and technical findings.

Technical Requirements

Programming & Development

• Strong Python programming skills.
• Understanding of functions, classes, asynchronous programming, and error handling.
• Experience working with REST APIs, HTTP, JSON, and API integrations.
• Familiarity with FastAPI or similar backend frameworks.
• Comfortable with Git, GitHub, and terminal-based development.

LLMs & Agentic AI

• Hands-on experience integrating at least one LLM API: OpenAI, Gemini, Claude, or equivalent.
• Understanding of prompt engineering, structured outputs, and function calling.
• Practical experience building AI agents or LLM-powered applications.
• Understanding of agent orchestration, memory, context management, and tool execution.
• Knowledge of multi-agent architectures and agent collaboration.
• Familiarity with A2A and MCP concepts.

Generative AI

• Understanding of image-generation and video-generation models.
• Experience integrating generative AI APIs into applications.
• Familiarity with text-to-image, image-to-image, text-to-video, or image-to-video workflows.
• Understanding of generation parameters, output quality, and model limitations.

Marketing & Growth

• Understanding of social media platforms and digital marketing fundamentals.
• Familiarity with content strategies, campaign workflows, and engagement metrics.
• Ability to identify trends and translate them into content opportunities.
• Interest in marketing automation, growth engineering, and AI-powered content systems.
• Analytical thinking and an experimental approach to improving campaign performance.

Good to Have

• Experience with LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks.
• Experience implementing A2A communication or MCP servers.
• Experience building autonomous agents that use external tools.
• Familiarity with image-generation platforms and APIs.
• Experience with AI video-generation tools and APIs.
• Knowledge of RAG, embeddings, and vector databases.
• Familiarity with PostgreSQL, Redis, and background task processing.
• Experience with social media APIs and publishing integrations.
• Experience with marketing analytics and campaign tracking.
• Basic knowledge of Docker and cloud deployment.
• A GitHub portfolio showcasing AI agents, automation projects, or generative AI applications.

What We're Looking For

We are not looking for someone who has only used AI tools to generate content or written basic prompts.

We want someone who:

• Has built at least one practical AI or LLM-based application.
• Understands how to connect multiple agents and build meaningful workflows.
• Can integrate AI models and external APIs into working applications.
• Has an interest in both AI engineering and growth automation.
• Can independently research unfamiliar technologies and implement solutions.
• Thinks about reliability, scalability, latency, and API costs.
• Can experiment with creative AI workflows and evaluate their results.
• Takes ownership of assigned tasks and follows them through to completion.

What You'll Get

• Direct involvement in building AI-powered products such as Yearz and Loopz.
• Hands-on experience with multi-agent systems and agent-to-agent communication.
• Exposure to production AI engineering and multimodal AI.
• Opportunities to work with image and video-generation technologies.
• Experience building AI-powered marketing and growth automation systems.
• Ownership of real product features and workflows.
• Collaboration with the engineering, product, and growth teams.
• A fully remote working environment.
• Monthly stipend of 10,000.

Confidentiality & Employment Terms

• The internship duration is 3 months.
• The role is fully remote.
• Selected candidates will be required to sign an NDA.
• All company information, customer data, source code, product architecture, credentials, and internal systems must remain strictly confidential.
• Any possibility of a full-time opportunity after the internship will depend on individual performance, company growth, and business requirements. Full-time conversion is not guaranteed.

How to Apply

Interested candidates should share:

1. Updated resume.
2. GitHub profile.
3. Portfolio or links to relevant AI projects.
4. Examples of AI-generated images or videos, if available.
5. A brief description of an AI agent or automation workflow they have built.
6. Details of their experience with multi-agent systems, A2A, MCP, or generative AI.

Email: [Confidential Information]

Subject: Application for Agentic AI & Growth Engineer Intern – Instant Labz Pvt. Ltd.